Short Trade on GAS

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Short Trade on GAS 14 Apr 2025 at 23:21:33

Take profit at 2.7789 (1.21 %) and Stop Loss at 2.8357 (0.81 %)

Short Trade on GAS

The 14 Apr 2025 at 23:21:33

With 351.7682 GAS at 2.813$ per unit.

Position size of 989.5239 $

Take profit at 2.7789 (1.21 %) and Stop Loss at 2.8357 (0.81 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

sell

ML Trade Score: -100

ML Pullback Score: -0.04

Prediction Score:

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - sell

Indicators:

long_trend: -1
short_kc: True
short_kc_percentage: 0.2
atr: 0.0151614999

Details

score: 1.2
1H
ema9 : 2.77584
ema21 : 2.81908
ema50 : 2.92369
price_ema9_diff : 0.0131796
ema9_ema21_diff : -0.0153389
ema21_ema50_diff : -0.0357802
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.450515
kc_percentage : 0.491163
kc_width_percentage : 0.0725281
15m
ema9 : 2.771
ema21 : 2.76407
ema50 : 2.78254
price_ema9_diff : 0.0151932
ema9_ema21_diff : 0.00250846
ema21_ema50_diff : -0.00663823
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.631478
kc_percentage : 0.950899
kc_width_percentage : 0.0386653
5m
ema9 : 2.7881
ema21 : 2.7709
ema50 : 2.76151
price_ema9_diff : 0.00898365
ema9_ema21_diff : 0.00620902
ema21_ema50_diff : 0.00339893
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.718278
kc_percentage : 1.19659
kc_width_percentage : 0.0209993

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
14 Apr 2025 23:21:33	14 Apr 2025 23:25:00	3 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
2.813	2.8357	2.7789	1.5	1.574

Details

Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

Entry 2.813
Stop Loss: 2.8357
Take Profit: 2.7789

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 2.8357 - 2.813 = 0.0227
Récompense (distance jusqu'au take profit):

E - TP = 2.813 - 2.7789 = 0.0341
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = 0.0341 / 0.0227 = 1.5022

📌 Position Size

Amount	Margin	Quantity	Leverage
989.5239	100	351.7682	9.90

Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

Account Size 100
Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

Risk Amount 8
Distance Stop Loss 0.0227

Taille de position = 8 / 0.0227 = 352.42

Taille de position USD = 352.42 x 2.813 = 991.36

Donc, tu peux acheter 352.42 avec un stoploss a 2.8357

Avec un position size USD de 991.36$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 352.42 x 0.0227 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 352.42 x 0.0341 = 12.02

Si Take Profit atteint, tu gagneras 12.02$

Résumé

Taille de position 352.42
Taille de position USD 991.36
Perte potentielle 8
Gain potentiel 12.02
Risk-Reward Ratio 1.5022

📌 Peformances

TP % Target	TP $ Target
1.21 %	12 $

SL % Target	SL $ Target
0.81 %	7.99 $

PNL	PNL %
-8.09 $	-0.82

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-2.381798791326 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
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    [1.1] => Array
        (
            [take_profit] => 2.779
            [entry_price] => 2.813
            [stop_loss] => 2.8383
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-14 23:25:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 2.779
            [entry_price] => 2.813
            [stop_loss] => 2.8406
            [rr_ratio] => 1.23
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-14 23:25:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 2.779
            [entry_price] => 2.813
            [stop_loss] => 2.8429
            [rr_ratio] => 1.14
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-14 23:25:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 2.779
            [entry_price] => 2.813
            [stop_loss] => 2.8475
            [rr_ratio] => 0.99
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-14 23:25:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => -0.013
            [max_drawdown] => 0.415
            [rr_ratio] => -0.03
            [high] => 3.22800000
            [low] => 2.82600000
            [mfe_pct] => -0.46
            [mae_pct] => 14.75
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 24
            [start_at] => 2025-04-14T23:21:33-04:00
            [end_at] => 2025-04-15T01:21:33-04:00
        )

    [long_term] => Array
        (
            [max_gain] => -0.013
            [max_drawdown] => 0.415
            [rr_ratio] => -0.03
            [high] => 3.22800000
            [low] => 2.82600000
            [mfe_pct] => -0.46
            [mae_pct] => 14.75
            [mfe_mae_ratio] => -0.03
            [candles_analyzed] => 72
            [start_at] => 2025-04-14T23:21:33-04:00
            [end_at] => 2025-04-15T05:21:33-04:00
        )

    [breakout] => Array
        (
            [high_before] => 2.84100000
            [high_after] => 3.22800000
            [low_before] => 2.69900000
            [low_after] => 2.82600000
            [is_new_high] => 
            [is_new_low] => 
        )

)